Method for Operating a Driver Information System in an Ego-Vehicle and Driver Information System

ABSTRACT

A method for operating a driver information system in an ego vehicle is provided, wherein environment data are detected in an environment of the ego vehicle. A driver information display is generated and output, wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle. An operating state of a driver assistance system of the ego vehicle is detected, and an automation level is determined with reference to the detected operating state of the driver assistance system. The depiction of the environment is generated depending on the determined automation level.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to German Patent Application No. DE 10 2019 202 576.5, filed on Feb. 26, 2019 with the German Patent and Trademark Office. The contents of the aforesaid patent application are incorporated herein for all purposes.

TECHNICAL FIELD

The present invention relates to a method for operating a driver information system in an ego vehicle, as well as a driver information system in an ego vehicle.

BACKGROUND

This background section is provided for the purpose of generally describing the context of the disclosure. Work of the presently named inventor(s), to the extent the work is described in this background section, as well as aspects of the description that may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.

Modern vehicles frequently offer a comprehensive selection of various systems that assist the driver to control the vehicle and therefore contribute to an improvement in comfort and safety. One of the challenges in this regard consists of configuring the interface between the human driver and typically computer-based controlling so that the driver is provided with all necessary and desired information as fast as possible and in an easily perceptible manner. Then, the options for assistance may be optimally understood and used. Moreover, the driver must know precisely at every time how his vehicle will behave in a certain situation, which assistance systems are currently active, and whether their optimum functioning is ensured. He should further know how these systems are functioning and the extent to which manual intervention is necessary.

In the following, a “driver assistance system” is understood to be an apparatus of a vehicle that assists the driver to drive the vehicle. Such driver assistance systems may be configured as pure information systems that assist the driver; however, they may also control and regulate apparatuses that automatically influence the locomotion of the vehicle.

By using driver assistance systems, various degrees of vehicle control automation may be achieved. Without an activated driver assistance system, the driver directly influences the movement of the vehicle. If need be, signals or movements of control elements actuated by the driver, such as pedals, the gearshift lever or the steering wheel, are transmitted to corresponding apparatuses of the vehicle which influence the locomotion of the vehicle. Such locomotion of the vehicle corresponds to the lowest degree of automation.

In the case of a higher degree of automation, apparatuses are intervened with partly automatically, which aid the locomotion of the vehicle. For example, the steering of the vehicle or the acceleration in the positive or negative direction is intervened with. In the case of an even higher degree of automation, apparatuses of the vehicle are intervened with such that certain locomotion types of the vehicle, for example straight-ahead driving, may be executed automatically. With a maximum degree of automation, for example routes from a navigation system may be driven substantially automatically, or the vehicle may for example drive automatically on a highway even without a given route. In doing so, however, it is generally ensured that the driver may also immediately recover the control of driving the vehicle, even when there is a high automation level, by actively steering or by actuating the pedals. Moreover, the control may be returned to the driver when a system error arises, or a section that cannot be automatically driven is discerned.

The various driver assistance systems thereby also satisfy various safety functions. Given a low automation level, information is only output to the driver through a driver assistance system or several driver assistance systems that influence the driver in the way in which he moves the vehicle. When there is a higher level of safety functions, warnings are output that require an immediate reaction from the driver. With this automation level, the driver assistance systems do not, however, intervene actively and automatically in the operation of the apparatuses that influence the locomotion of the vehicle.

In the case of an even higher automation level, apparatuses are intervened with partly automatically, which aid the locomotion of the vehicle. With an even higher automation level, there is sufficient intervention in vehicle apparatuses that influence vehicle locomotion for certain maneuvers of the vehicle to be automatically performable, such as for example emergency braking or an intentional escape maneuver to avoid a collision.

The driver of the vehicle is made aware of certain hazards from the notices output by the driver assistance systems. This increases safety while driving the vehicle. When there is an active intervention by a driver assistance system in the locomotion of the vehicle, hazardous driving situations such as collisions or uncontrolled movements of the vehicle may also be avoided when the driver does not directly intervene in the driving process. However, with respect to the safety functions of the driver assistance system, the driver always retains for example the full control and responsibility for the driving situation. The driver assistance system intervenes for example in the event of a collision hazard, or if the driver is no longer able to drive the vehicle, such as for health reasons.

In addition to the direct effect on the controlling of the vehicle where appropriate, it is typically provided in driver assistance systems that the driver is informed of the activity of the driver assistance system with a certain depth of detail. For example, this may be done using visually, acoustically or haptically perceptible signals. This ensures that the driver may estimate the influence of a driver assistance system on driving and may intervene in a controlling manner if appropriate: Furthermore, the driver should typically discern automatic interventions in controlling early on so as not to be surprised by them.

Driver assistance systems that may intervene partially automatically in the controlling of the vehicle and/or notify of potentially hazardous situations through warnings may for example relate to transverse control or longitudinal control of the vehicle. Combinations of these fundamental elements of vehicle control are also conceivable. The transverse control component relates for example to the position of the vehicle perpendicular to the driving direction, i.e., for example the so-called transverse position on a lane or road. Accordingly, for example, an assistant for keeping in a lane may prevent driving over a lane limit, or the vehicle may be driven in the middle of a lane. Furthermore, the driver may be assisted with a lane change or with an overtaking maneuver. Longitudinal control relates for example to the speed of the vehicle in the driving direction that for example is determined depending on legal provisions and road conditions, as well as a safe distance to be maintained from additional road users. A corresponding driver assistance system may help the driver for example maintain a given speed and/or a distance from a preceding vehicle. Furthermore, one's own ego vehicle may be prevented from passing on a certain side; for example, passing on the right in right-hand traffic, or respectively passing on the left in left-hand traffic is prevented, or corresponding warnings are generated.

In controlling the vehicle, the driver must be informed of the extent to which driver assistance systems may automatically intervene in controlling.

SUMMARY

A need exists to provide a method for operating a driver information system in an ego vehicle in which a driver of a vehicle may perceive very easily and quickly whether, and to what extent, supportive driver assistance systems are active.

The need is addressed by a method and a driver information system according to the independent claims. Embodiments of the invention are described in the dependent claims, the following description, and the drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows a vehicle with an exemplary embodiment of a driver information system;

FIG. 2 shows a traffic situation with vehicles on a road;

FIG. 3 shows an exemplary embodiment of a driver information display generated while negotiating a curve;

FIG. 4A to 4C show exemplary embodiments of driver information displays generated taking into account weather data;

FIG. 5A to 5D show exemplary embodiments of driver information displays generated taking into account various types of road markers;

FIG. 6A to 6C show exemplary embodiments of driver information displays generated for a planned lane change;

FIG. 7A to 7C show exemplary embodiments of driver information displays generated taking into account impending oncoming traffic, if applicable;

FIG. 8A to 8C show various depictions of an exemplary ego object in the driver information display;

FIG. 9 shows an exemplary embodiment of a driver information display generated with a trailer object;

FIGS. 10A and 10B show exemplary embodiments of driver information displays for different levels of automation;

FIG. 11A to 11D show exemplary embodiments of driver information displays with unclassified and classified additional road users;

FIGS. 12A and 12B show exemplary embodiments of driver information displays while the ego vehicle is following; and

FIG. 13A to 13D show exemplary embodiments of driver information displays when setting a control distance.

DESCRIPTION

The details of one or more embodiments are set forth in the accompanying drawings and the description below. Other features will be apparent from the description, drawings, and from the claims.

In the following description of embodiments of the invention, specific details are described in order to provide a thorough understanding of the invention. However, it will be apparent to one of ordinary skill in the art that the invention may be practiced without these specific details. In other instances, well-known features have not been described in detail to avoid unnecessarily complicating the instant description.

In a method according to a first exemplary aspect, environment data in an environment of the ego vehicle are detected. A driver information display is generated and output, wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle. An operating state of a driver assistance system of the ego vehicle is detected, and an automation level is determined with reference to the detected operating state of the driver assistance system. The depiction of the environment is generated depending on the determined automation level.

In the driver information display of the present aspect, the depiction of the environment of the ego vehicle changes depending on the degree to which the driver assistance system automatically supports driving. For example, all the more objects in the environment of the ego vehicle are output the higher the determined automation level. Conversely, fewer objects are output when the ego vehicle is manually controlled to a greater extent. The driver may thereby discern intuitively which model of the environment is available to the driver assistance system, and the extent to which he may count on at least partially automated support. Conventional displays contrastingly only provide that the activity of individual driver assist modules or driver assistance systems are output by icons, symbols or graphic objects, for example in that a graphic object is highlighted when a driver assist module is activated.

For example, at least partially automated controlling in the longitudinal direction requires monitoring a space in front of the ego vehicle, for example to maintain a safe distance. On the other hand, interventions in transverse controlling also require that a lateral area next to the vehicle is monitored. The depiction of the environment may in these cases illustrate which areas are being monitored, how the driving situation is currently being depicted to the driver assistance system, and the extent to which automatic interventions may be anticipated.

In some embodiments, the depiction of the environment is generated using an environmental model of the driver assistance system. In doing so, the depiction comprises for example control objects of the driver assistance system in the environment. The driver may thereby easily perceive which objects in the environment are currently relevant for automatic support.

An environmental model is used by the driver assistance system to determine driving maneuvers of the ego vehicle in relation to other objects. For example, control objects are identified and used for this purpose.

Control objects may for example be other road users that are detected, and whose position and speed are used to control the ego vehicle. Accordingly for example an automated distance control may automatically maintain a safe distance to preceding vehicles; these preceding vehicles serve as control objects for the driver assistance system and may in this case be included in the driver information display. In another example, road markers may be used by a driver assistance system to support transverse controlling; these markers may then be included in the driver information display. If information on the course of the road is used by the driver assistance system such as the curve radius in a curve area, then the depiction of the environment may be generated such that the curve radius may be gathered from the depiction; contrastingly, it may be provided that such a curve is not depicted when it is not used by the driver assistance system for controlling.

A higher and lower automation level may be distinguished, and these are determined by using various operating states of the driver assistance system. On the different automation levels, for example certain settings of the driver assistance system or certain driver assist modules are activated. On a lower automation level, for example only driver assist modules are activated that automatically intervene either in the longitudinal controlling or in the transverse controlling of the ego vehicle, or no automatic interventions are possible; this may be termed assisted, or respectively manual driving. On a higher automation level, both driver assist modules for longitudinal control as well as for transverse control are activated; this may be termed partially automated driving.

In the method according to the present exemplary aspect, a driver information display is generated and output. Such a display may be designed in different ways and may include elements that are known per se. The display is produced and output for example in a way known per se by means of computing devices and display devices configured therefor. The display output by the driver information display comprises output that is of relevance for controlling the vehicle and its driving. These are for example movement data or states of vehicle systems, as well as if applicable informational and warning output from driver information systems.

The display may be output by means of known display units such as by means of a display, for example on a center console of the ego vehicle, or in an instrument cluster. Furthermore, output may be by means of a field-of-vision display so that at least part of the driver information display is projected into a user's eye so that the display appears superimposed over the visual perception of the physical environment. For example, methods and devices from the field of augmented reality may be used. Known field-of-vision displays such as head-up displays use, for example, the windshield of a vehicle or glasses for projecting.

The output display does not include, for example, an output of a video image that is detected by a camera of the ego vehicle. Instead, the output display data are generated by a computing unit, if applicable using video data from a camera, and the output graphic objects are shown schematically or simplified relative to real objects.

The driver information display may furthermore include control objects or control elements, for example like a graphic user interface. Such objects may for example represent adjustable parameters or activatable and deactivatable functions. They are for example designed selectable and/or actuatable, wherein user input is detected in a manner known per se and evaluated with reference to the particular object.

The depiction of the environment is for example generated with a perspective that is generated depending on the detected operating state of the driver assistance system. For example, the perspective in the depiction of the environment is generated such that, depending on the detected operating state of the driver assistance system, a greater or smaller spatial area in the environment of the ego vehicle is depicted. The depicted area of the environment in this case is for example larger, i.e., the depiction corresponds to a larger area in the environment of the ego vehicle, the higher the automation level.

In some embodiments, the driver information display comprises an ego object which represents the ego vehicle. In this case, when there is a transition between depictions of the environment if a change in the automation level is detected, an animated perspective change is output in which a position of the ego object is changed in the driver information display. The output may therefore be generated such that a switch may occur between an overview depiction and a depiction that more strongly approximates the perspective of the driver. The driver may furthermore very easily perceive the difference between the automation levels.

The change in the automation level may for example be perceived for example by user input. Accordingly, the user may for example actuate a switch, or a button, a toggle switch, or another detection apparatus for user input. This allows single or several driver assist modules or driver assistance systems to be activated or deactivated; furthermore, they may be adjusted by for example activating a certain automation or assistance level.

Furthermore, it is possible to switch automatically between different automation levels. For example, thresholds for automatic interventions may be provided, such as a maximum providable steering torque. If it is detected that greater steering torque needs to be applied to be able to negotiate a curve at a certain speed, then the driver must at least apply additional steering torque so that the ego vehicle may safely negotiate the curve. In this context, corresponding instructions may be output in a visually, acoustically and/or haptically perceptible manner.

In some embodiments, the ego object is arranged on one automation level at a static position in the driver information display. In the animated perspective change, the ego object is moved within the driver information display, and/or the perspective is changed relative to the ego object. This allows the transition to be output very clearly.

In the depiction, the ego object is for example displayed such that it is depicted at a constant position in a fixed automation level. The perspective of the depiction of the environment is static relative to the virtual ego object so that the depicted environment relative to the ego object is depicted as moving while the ego object appears stationary. When there is a change between different automation levels, an animated transition is generated such that the ego object moves within the display, and/or the perspective changes relative to the ego object.

In some embodiments, a reduced depiction of the environment is output on a low automation level, and an expanded depiction of the environment is output on a high automation level. In this case, the ego object comprises a partial depiction of the ego vehicle in the reduced depiction, and a depiction of a rear view of the ego vehicle in the expanded depiction. This makes the automation level very easily perceptible.

For example, a low automation level is determined when either the longitudinal or the transverse control of the ego vehicle is supported. A high automation level may be determined when the support for longitudinal as well as transverse control is activated. Furthermore, a value of the automation level may be determined using different methods, for example as a part of the supported driving decisions, and a threshold may be used to determine a low or high automation level.

For example on a low automation level, a reduced depiction of the environment is output in which only a part of the ego vehicle is depicted by the ego object. For example, a front area of the ego vehicle is depicted. In the driver information display, the driver therefore very clearly perceives how much he must manually exert control over the ego vehicle. For example, a depiction from a perspective may be generated that depicts the ego vehicle at a distance in a manner observing from the outside; this corresponds to a situation in which the driver should for example monitor the automatic support functions than manually intervene himself in controlling. When transitioning into an expanded depiction on a higher automation level, it is depicted that the ego object is moving into the displayed area of the environment, or respectively that the perspective is shifting to the rear so that a larger part of the ego vehicle is depicted. Another depiction from a perspective may be generated that proceeds from a virtual point closer to the ego vehicle and in which only part of the ego vehicle is depicted; the display in this case corresponds instead to the driver's view of the environment, and it becomes clear that controlling is manual to a greater extent. For example in the expanding depiction, the entire ego vehicle may be depicted from a rear view. In a reverse transition from a higher to a lower automation level, the animation may be generated in reverse.

In the method, a first environmental depiction or a second environmental depiction may for example be output that are each assigned to an automation level. The first and second environmental depiction correspond for example to a reduced or an expanded depiction of the environment. In doing so, the reduced depiction may be output on a lower automation level, whereas the expanded depiction may be output on a higher automation level. The depictions differ for example in terms of different perspectives from which the environment is depicted. The perspective may for example be generated by using the position of a virtual point from which a view of the environment and if applicable the ego vehicle is depicted. It is furthermore defined by an angle, for example like when recording image data using a camera in which different focal lengths may be used in order to change the perspective.

In some embodiments, the environment data are detected by means of sensors of the ego vehicle, for example by means of a camera, a lidar sensor, or a radar sensor. Information on the actual environmental conditions in a specific driving situation are therefore available. For example, data may be used that are provided by driver assistance systems which are known per se, for example by a lane change or overtaking assist. The driver information display therefore permits a particularly realistic estimation of the driving situation.

The sensors of the ego vehicle each have a detection area. For example, a radar sensor may detect data at a specific spatial angle and up to a specific distance from the ego vehicle. The sensors may be directed in the driving direction, against the driving direction or to the side, and may detect data in correspondingly arranged detection areas.

In some embodiments, a position of the ego vehicle is determined, and the environment data are detected by means of map data and by using the determined position. This makes it possible to use environment data included in the map data and other information for the driver information display.

For example, the map data may include information on a radius of curvature of the curve of the course of the road. For example, it may furthermore be discerned whether a certain lane is authorized for oncoming traffic, for example on a one lane road or on a highway.

The position of the ego vehicle is detected in a manner known per se, for example by means of a navigation satellite system such as GPS. The map data are also provided in a manner known per se, for example from a memory unit of a navigation system of the ego vehicle, or from an external unit with which at least a temporary datalink exists.

The data link between the ego vehicle and an external unit, for example an external server, may for example be wireless, for example through a local network or a larger network, such as the Internet. Furthermore, the link may be established by a telecommunications network such as a telephone network, or a wireless local network (Wi-Fi). Furthermore, the data link may occur by connecting a data cable. The link may also be established by another unit that itself may establish a link to the external server. For example, a data link may exist between the ego vehicle and a cell phone connected to the Internet, for example by a data cable or a radio connection such as by Bluetooth. For example, the link with the external server may be established over the Internet.

Methods from the field of communication between vehicles and other apparatuses (Car2X) may be used. For example, communication with an infrastructure apparatus (Car2Infrastructure) or another vehicle (Car2Car) may occur.

For example, environment data that are detected by means of a sensor may be fused with map data in order to add information or check its plausibility. For example, a very comprehensive database may be obtained in this manner, and the detected data may be very easily supplemented thereby. Accordingly, for example, it may be determined by using the map data whether oncoming traffic is to be expected on a lane, and in another step, it may be determined by means of sensor data whether in fact oncoming traffic is being detected on the lane.

In some embodiments, the depiction of the environment is generated such that it has greater detail on a higher automation level. The driver may thereby perceive that the ego vehicle has a comprehensive environmental model for automatic control.

The greater detail may for example mean that a greater number of objects is depicted in the environment. For example on a higher automation level, an expanded depiction may be generated in which other road users and/or features of the environment that are detected within a certain distance from the ego vehicle may be depicted. Contrastingly on a low automation level, the depiction of the environment may be generated such that basically only specific control objects are depicted, i.e., objects that are specifically used for certain at least partially automatic driving functions. This may for example be a preceding vehicle with which the ego vehicle automatically maintains a certain safe distance, or road markers that the ego vehicle uses to keep in a lane.

On a higher automation level, the environment may furthermore be depicted in a larger area around the ego vehicle. The depicted environment extends for example up to a certain distance in the driving direction in front of the ego vehicle, and if applicable by another distance in a lateral direction or in the area behind the ego vehicle.

In some embodiments, the depiction of the environment is generated such that it comprises a greater area of the environment on a higher automation level.

Furthermore in some embodiments, the depiction of the environment is generated such that, on a higher automation level, at least one adjacent lane is depicted in full width, wherein on a lower automation level, only a partial width of the adjacent lane is depicted.

In some embodiments, the driver information display is a graphic lane object that represents a course of a road lying in front of the ego vehicle. The lane object is generated so that it corresponds to a perspective depiction of the course of the road and comprises a radius of curvature so that the actual radius of curvature of a curve of the course of the road is output. The driver information display therefore permits a particularly realistic estimation of the driving situation.

The course of the road and for example the actual radius of curvature of the curve is detected for example using the environment data. For example, map data may include information on the course of the road; furthermore, environment data detected by sensors of the ego vehicle may be used.

For example, the lane object is displayed differently depending on the automation level on which the environment is depicted. The actual radius of curvature of a curve may be output for example in an expanded depiction, i.e., on a higher automation level. Contrastingly, with a reduced depiction, it may be provided that the lane object is only depicted as a straight section, wherein for example positions of other objects relative to the ego vehicle are transformed into the lane object in the reduced depiction.

For example, the driver information display is generated with an ego object such that it is depicted from the rear in a perspective view. In doing so, a road section lying in front of the ego vehicle in the direction of driving may moreover be depicted by means of the road object. The virtual line of vision of the driver information display is therefore oriented so that a road section is visible on which the ego vehicle is driving. The lane object may for example refer to the lane currently being used by the ego vehicle, and alternatively or in addition represent a course of other lanes. The lane object may for example be configured as a depiction of a straight road section in front of the ego vehicle.

The detected course of the road comprises for example information on whether, and to what extent, a route traveled by the ego vehicle has a lateral curvature. The detected data may also relate to other properties of the road, such as an inclination of the road in a direction longitudinal or transverse to the driving direction of the ego vehicle. For example, the data detected on the course of the road include information on the geometric nature of the road. The ego vehicle travels for example on a road that may have several lanes. Typically, the ego vehicle follows the course of one of the lanes as it is driving, wherein a lane change to another lane may be made if desired. The detection of the course of the road may include the course of the currently used lane, or several lanes.

The graphic lane object is for example generated so that it permits the user, or respectively the driver of the ego vehicle, to bring graphic elements from the driver information display into a spatial relationship with the road that actually lies in front of the ego vehicle. The lane object may relate to the lane currently being used by the ego vehicle. It may furthermore relate to a lane on which the ego vehicle will foreseeably negotiate a curve, for example if, before entering the curve, a lane change is to be carried out. The lane object may furthermore include a plurality of lanes, for example the lane currently being driven on by the ego vehicle, and at least one spatially adjacent lane, for example an adjacent lane for the same driving direction. However, the depiction may also include a personal lane object and at least one adjacent lane object.

The graphic lane object represents the actual course of the road, for example such that the user may assign a virtual position within the driver information display to a physical location on the road located in front of the ego vehicle. The depiction of an ego object that represents the ego vehicle may be such that an improved orientation of the driver within the driver information display, and relative to the depicted lane object, is achieved. In terms of its detail content, the depiction of the lane object is reduced or schematic relative to reality. For example, the view of the physical road from the perspective of the driver of the ego vehicle may be represented mathematically on the graphic lane object by a transformation.

The driver information display does not include, for example, any depiction of image data that are detected by a camera. Instead, the instantiations of the depicted objects are generated by a computing unit.

The graphic lane object comprises for example a perspective view of a curved road, wherein the curvature of the graphic lane object corresponds substantially to the radius of curvature detected for the physical course of the road. The actual course of the road is therefore represented very realistically by the graphic lane object. The lane object is for example generated from a perspective that corresponds to a view from a virtual position just above the ego vehicle.

For example, in the first depiction of the environment that is assigned to a lower automation level, the lane object is depicted as shorter than on a higher automation level. In contrast, a greater portion of the course of the road is depicted when a higher automation level was determined.

Furthermore, the depiction of the environment may be dynamically configured on a higher automation level so that more characteristics of the course of the road currently lying in front of the ego vehicle are depicted than is the case with a lower automation level. The depiction is for example dynamic so that it is always adapted to the current traffic situation in the environment of the ego vehicle. The depicted characteristics of the course of the road may for example include a curve, the arrangement of adjacent lanes, or markers. These characteristics may be included by the lane object depending on which automation level was determined. For example, a lane object of a reduced depiction may only include a road that is depicted as running straight, whereas the curve and if applicable a curve progression are included in an expanded depiction.

For example, on a higher automation level, a road object may be depicted for a longer road section. Furthermore, adjacent lanes may be depicted, wherein the extent of depiction depends on the automation level. For example, adjacent lanes are not displayed at all or only partially when a lower automation level is determined, whereas with greater automation, adjacent lanes are depicted over their entire width.

In some embodiments, a demarcation marker is determined on a lane section lying in front of the ego vehicle in the driving direction by using the detected environment data. A demarcation marker class is determined for the determined demarcation marker, wherein the driver information display comprises a graphic demarcation object that is generated depending on the determined demarcation marker class. The driver information display therefore allows the driver to be very easily oriented so that he may assign display elements to directly perceived elements of the traffic situation.

For example, road markers are detected, assigned to a demarcation marker class, and correspondingly output in the driver information display as a demarcation object. The demarcation object is for example arranged on the road object and depicts characteristics of the detected road markers. Accordingly, for example, continuous and broken lines, double lines and other road markers may be depicted. The depicted demarcation object also follows, for example, the actual course of the road, for example in the area of a curve.

In some embodiments, a radius of curvature of a curve lying in front of the ego vehicle is determined, and movement data of the ego vehicle are detected. By using the detected movement data and the detected radius of curvature, a criticality is determined, and a graphic lane object is generated with a highlight feature that is generated depending on the determined criticality. The driver may therefore perceive quickly and easily whether and how he must intervene in the controlling of the ego vehicle in order to ensure safe driving.

In some embodiments, the movement data of the ego vehicle include its current speed or a forecast speed upon entering the curve. The output may therefore be adapted very precisely to the actual requirement.

The current speed of the ego vehicle may be detected in a manner known per se by means of sensors of the ego vehicle. Furthermore, it may be determined, for example by means of a driver assistance system, which speed the ego vehicle will have upon reaching a certain position, for example when entering the curve. If for example the ego vehicle is already being braked at the current point in time, the speed at which the ego vehicle will foreseeably reach the beginning of the curve is accordingly determined. Braking may be accomplished for example by actively using a brake device, or the ego vehicle may already be decelerated by the driver releasing the gas pedal or letting the ego vehicle coast.

Furthermore, other movement data may be detected such as an acceleration in a direction along and/or transverse to the driving direction.

In some embodiments, other vehicle parameters are detected, and the criticality is furthermore determined by using the other vehicle parameters. Since data may also be taken into account beyond the movement data of the ego vehicle, the criticality may be assessed very precisely.

In addition to the movement data of the ego vehicle, i.e., for example the speed, other data may also be detected that influence the safe negotiation of the curve and for example the adhesion between the tires of the ego vehicle and the road surface. This comprises, for example, data on the type, the composition, the state and the age of the tires of the vehicle or chassis adjustments.

The criticality determined in the embodiments quantitatively indicates, for example, the urgency with which a manual intervention by the driver is needed in order to ensure safe driving. For example, it may be necessary to manually adapt the speed of the ego vehicle, and/or manually apply a certain steering torque. In doing so, a physical model is used for example in order to determine whether centrifugal forces arise at a speed and the determined radius of curvature of the curve that would lead to a departure from the lane, or respectively the planned trajectory. In doing so, for example additional parameters are taken into account that for example affect the transmission of force between the road and the vehicle.

Moreover, it may be taken into account that standards and regulations for driver assistance systems in the area of transverse control provide limit values for the maximum steering torque to be automatically applied. That is, if required by the radius of a curve and the speed of the ego vehicle, the driver must then manually apply additional steering torque in order to achieve an overall steering torque above the threshold value. The criticality therefore depends for example on the steering torque that must be applied in order to safely negotiate the curve at the current speed of the ego vehicle. This may be calculated by using a physical model depending on the radius of curvature of the curve and the speed, as well as if applicable other parameters.

The criticality may furthermore depend on the type of measures to be introduced. For example, a first value of the criticality may be determined if a deceleration of the vehicle must be initiated in order to drive on the curve with an unchanged level of assistance from a driver assistance system. A second value of the criticality may be determined if a steering intervention is needed. Furthermore, a third value of the criticality may be determined if both a deceleration as well as a steering intervention must be done manually in order to safely negotiate the curve.

The highlight feature of the graphic lane object is configured in a manner known per se and may comprise a highlighted depiction for example by means of color, brightness, contrast, transparency, saturation or shape which directs the attention of a user to a certain object. Colors for highlighting that are typically also used for outputting warnings may for example be red, yellow and green. In contrast, certain color depictions may evoke a deemphasized highlight, for example with gray, dark or less strongly saturated coloration. Furthermore, a highlight may be achieved by means of a depiction of the lane object that changes over time, for example by a periodic change of the depiction, for example by flashing or pulsing, or by the sudden appearance or disappearance. A change in the depiction over time may refer to a shape or a one-time or periodically depicted change in size of the depicted graphic object. The highlight feature may also be configured as another graphic object such as a frame or a border of the lane object.

The form of the highlight feature depends on the determined criticality. For example, with a low criticality, the highlight feature may be configured so that it evokes a weak emphasis, for example a depiction of the lane object without a border, or a colored design that is configured to make surrounding graphic objects similar for example in terms of brightness, color and contrast. With a higher criticality, a border or a further highlighted object may be displayed, or the depiction of the lane object may be different from the surrounding graphic objects for highlighting, for example by a contrast-rich depiction in terms of brightness and/or color, or by using a signal color such as yellow or red.

In some embodiments, road surface features are furthermore detected, and the criticality is furthermore determined by using the detected road surface features. The criticality may therefore be determined more reliably not just by using geometric features of the road, but also by using other relevant features of the road surface.

The road surface features relate for example to parameters that are relevant to the transmission of force between the vehicle and the road surface. For example, wetness, snow, ice, oil, or other contaminants on the road may cause the adhesion between the tires and the road surface to worsen, and a curve must be negotiated at a slower speed. Furthermore, the type of road surface may represent relevant information in this context.

The road surface features are detected in a manner known per se. For example, sensors of the ego vehicle may be used such as a camera, a rain sensor, or a sensor system for measuring the adhesion between the tires and road surface, or the wheel slip arising on the surface. Alternatively or in addition, user input or data from an external apparatus may be detected such as weather data for the position of the ego vehicle, or respectively the position of the curve. To accomplish this, data may for example be received via Car2Infrastructure, Car2X or Car2Car communication, wherein a traffic infrastructure, an external unit and/or another vehicle detect/s data on the road surface features and provide said data to the ego vehicle.

In some embodiments of the method, the graphic lane object furthermore has a depiction parameter that is generated depending on the road surface features or weather data. Consequently, the driver may advantageously be notified in an easily perceptible manner of circumstances that may impair negotiating the curve and make it necessary to undertake certain measures.

The weather data may be detected in various ways, for example by means of sensors of the ego vehicle such as a rain sensor or a camera, or by receiving data from an external unit such as an external server. For example, the current position of the ego vehicle or the position of the curve may be detected and used for providing the weather data.

The depiction parameter may relate to a texture or a background image in the area of the lane object. Alternatively or in addition, an edge area of the lane object such as a depicted road marker may be depicted in various ways, for example in a certain color. For example, it may be detected that the road is wet, or that rain is currently falling or has fallen in the recent past. A form of depicting the graphic lane object may then be generated that depicts a wet road. Analogously, a graphic depiction of a snow or ice-covered road may be generated. The depiction may also have a certain color or pattern, such as a hatching. Moreover, certain visual features may be depicted by using virtual objects in the display, such as a reflection of an object on the surface of the displayed lane object.

In some embodiments, at least one physical object is identified in the environment of the ego vehicle using the detected environment data and its position is determined relative to the ego vehicle. At the same time, the driver information display comprises at least one graphic object which is assigned to the identified physical object and the position of the graphic object is formed according to the specific position. This permits a particularly comprehensive display of the environment with information relevant to the driver about the driving situation.

The identified physical object, for example, is a further road user in the environment of the ego vehicle. In this case, the graphic object may be configured as a road user object which represents the further road user. For example, the further road user is assigned a road user class and the road user object is formed according to the assigned vehicle class.

For example, the road user object may be configured differently depending on whether the other road user is a passenger motor vehicle, truck or bus. In further embodiments, further external characteristics of the road user object are formed using the road user class, for example a color, a type or model of a different road user or a different characteristic feature of the external appearance.

A second exemplary aspect concerns a driver information system in an ego vehicle that comprises a detection unit that is configured to detect environment data in an environment of the ego vehicle, as well as a control unit that is configured to generate and output a driver information display, wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle. In this case, the detection unit is furthermore configured to detect an operating state of a driver assistance system of the ego vehicle, wherein the control unit is furthermore configured to determine an automation level by using the detected operating state of the driver assistance system, and to generate the depiction of the environment depending on the determined automation level.

The driver information system is for example designed to implement the above-described method according to the first aspect.

In some embodiments of the driver information system according to the present exemplary aspect, the display unit comprises a field-of-vision display for outputting the driver information display. The display may therefore be very easily perceived by the driver. It may furthermore be very easily set in relation to the physical environment of the ego vehicle.

For example, a head-up display, or a display apparatus that is known per se in the field of so-called augmented reality may be used. For example, glasses are known that project a graphic depiction into the eye of a user so that the graphic depiction appears superimposed on the natural perception of the eye. In this manner, additional information may be output in a particularly perceptible manner.

The invention will now be explained based on further exemplary embodiments with reference to the drawings.

Specific references to components, process steps, and other elements are not intended to be limiting. Further, it is understood that like parts bear the same or similar reference numerals when referring to alternate FIGS. It is further noted that the FIGS. are schematic and provided for guidance to the skilled reader and are not necessarily drawn to scale. Rather, the various drawing scales, aspect ratios, and numbers of components shown in the FIGS. may be purposely distorted to make certain features or relationships easier to understand.

A vehicle with an exemplary embodiment of the driver information system is described with reference to FIG. 1.

An ego vehicle 1 comprises a detection unit 2 which is coupled to a control unit 3. Said ego vehicle further comprises a display unit 4 and a driver assistance system 6 which are also coupled to the control unit 3. In the exemplary embodiment, the control unit 3 comprises an evaluation unit 5 and is wirelessly coupled by a data connection to an external unit 10, in the exemplary embodiment an external server 10. The ego vehicle 1 furthermore comprises a lighting apparatus 7 as well as a trailer hitch 8 that is also coupled to the control unit 3.

The detection unit 2 in the exemplary embodiment is designed in a manner known per se and comprises a camera that detects image data in a detection area that extends from the ego vehicle 1 at a certain angle in the driving direction forward. It furthermore comprises front, lateral and rear radar sensors that detect data in other detection areas around the ego vehicle 1.

The display unit 4 is also designed in a manner known per se and is integrated in the exemplary embodiment as a display in an instrument cluster of the ego vehicle 1. In other exemplary embodiments, the display unit 4 comprises a head-up display that is configured so that a display is projected into the field of vision of a driver of the ego vehicle 1 so that the display is superimposed on the natural perception of the driver. In other exemplary embodiments, more additional apparatuses are provided for outputting displays, such as those known from the field of augmented reality. Alternatively or in addition, the display unit 4 may comprise a central display in the area of a center console of the ego vehicle 1, or another display in the ego vehicle 1. Moreover, the display unit 4 may comprise several displays.

The driver assistance system 6 comprises several driver assistance modules by means of which the driver of the ego vehicle 1 is assisted in various ways in the controlling of the ego vehicle 1. These are not specified further in the exemplary embodiment. Systems are provided for example for assisting with longitudinal control, for example an assistant for maintaining a given distance from a preceding vehicle, as well as for maintaining a given speed, as well as for assisting with transverse control, for example an assistant for maintaining a travel lane, for example by using road markers, or by following behind a preceding vehicle. Output may be generated by the driver assistance system 6 and for example output by means of the display unit 4, for example in order to display warnings or recommended driving maneuvers to the driver. Furthermore, various driver assistance modules may actively intervene in control devices of the ego vehicle 1.

The lighting apparatus 7 comprises various apparatuses that serve as lighting that is capturable outside of the ego vehicle 1. In the exemplary embodiments, headlamps are included for generating daytime driving light, low beams, high beams and a parking light. Furthermore, turn signals as well as side marker lights and other signal lights are included. Furthermore, taillights, brake lights, retro-reflectors, rear fog lights and backup lights are included that for example are arranged on the rear of the ego vehicle 1 so that they are visible for traffic approaching from the rear.

The trailer hitch 8 is designed in a manner known per se and comprises elements that are suitable for coupling to the attached device. This may for example be a trailer. Electrical connections are also provided for this by means of which, for example, a lighting system of a trailer may be controlled. The trailer hitch in the exemplary embodiment furthermore comprises sensors that detect a mounted mass as well as, if applicable, traction of a trailer, for example in order to determine the presence of a trailer as well as, if applicable, its type.

An exemplary embodiment of the method will be explained with reference to FIG. 2. In doing so, the aforementioned ego vehicle explained with reference to FIG. 1 with an exemplary embodiment of the driver information system will be referenced and further specified by the description of the method.

An ego vehicle 21 that corresponds in the exemplary embodiment to the ego vehicle 1 shown in FIG. 1 drives in a driving direction indicated by an arrow 22 on a road 20 that has two lanes 20 a, 20 b. A traffic sign 25 is arranged in the area of the road 20. A preceding vehicle 23 is located on the same lane 20 b as the ego vehicle 21, whereas an oncoming vehicle 24 is located on the adjacent lane 20 a. The road 20 has a course with curves, wherein in the exemplary embodiment shown in FIG. 2, the ego vehicle 1 is approaching a right-hand curve followed by a left-hand curve.

By means of the detection unit 2, the ego vehicle 21 detects the course of the road lying in front of it in the driving direction. To do this, in the exemplary embodiment, image data are detected by means of the camera included in the detection unit 2 and evaluated in another step in order to determine the course of the road. To do this, for example the geometric configuration of the road 20, or respectively the lane 20 b currently being driven on by the ego vehicle 1 is determined. Alternatively or in addition, other sensors of the ego vehicle 1 are provided for detecting in other exemplary embodiments.

By using the data detected by the detection unit 2, the road markers that divide the two lanes 20 a, 20 b from each other are also detected. Moreover, additional road markers (not shown in FIG. 2) at the edges of the road 20 are detected. Demarcation marker classes are determined for the road markers, in the present case a “dashed line” and “solid line”, for different areas of the middle line between the lanes 20 a, 20 b, and a “solid line” for the edge markers of the road 20. In other exemplary embodiments, a road marker of the demarcation marker class “double solid line”, “parallel broken and solid line” or a similar configuration may also be determined. In addition, a curb or a transition from the road 20 to an adjacent shoulder may be detected as a demarcation marker and correspondingly classified.

In addition, in the exemplary embodiment, the current position of the ego vehicle 1 is detected and, by using this position, map data are provided that include information on the course of the road. A fusion of the map data as well as the detected sensor data is performed, and the actual course of the road in the driving direction lying in front of the ego vehicle 1 is determined.

By means of the detection unit 2, the ego vehicle 21 also detects weather data. In the exemplary embodiment, a rain sensor as well as the camera are used for this. Alternatively or in addition, in other exemplary embodiments, relevant weather data are retrieved from an external unit 10 by using the determined position of the ego vehicle 21. Furthermore, data on the weather at the position of the ego vehicle 21 provided from an infrastructure or for example by a radio station may be detected.

The detected weather data include information on rain and snow, both at the current point in time as well as in the recent past. From this it is inferred whether the road section lying in front of the ego vehicle 21 is wet, or has slippery snow. Furthermore, the weather data relate to the danger of slippery ice. For example, the current temperature of the air or the road surface is taken into account for this; if the temperature lies below the freezing point or another threshold value, an icy road is assumed. Other types of precipitation such as hail or sleet are also taken into account.

Furthermore, the detection unit detects movement data from the ego vehicle 21, for example its current speed and acceleration. In other exemplary embodiments, a speed and acceleration of the ego vehicle at a later point in time is forecast, for example for a forecast point in time of the entry of the ego vehicle 21 into a curve. In other exemplary embodiments, furthermore, other data on the ego vehicle 21 are detected, for example on the nature of its tires and adjustments of its chassis that affect the behavior of the ego vehicle while negotiating a curve.

The evaluation unit 5 determines the radius of curvature of the curve lying in front of the ego vehicle 21 based on the detected course of the road. In other exemplary embodiments, the radii of curvature of other curves may also be determined, for example to enable more foresighted driving. Then, the information on the speed of the ego vehicle 21 and the radius of curvature of the curve lying in front of the ego vehicle 21 are used to determine a value of criticality.

To determine the criticality, the steering torque for the ego vehicle 21 needed to negotiate the curve at the current or forecast speed is determined, for example by the driver assistance system 6. The determined steering torque is compared with a threshold value that is defined in the driver assistance system 6 for a maximum steering torque for automatic assistance in holding the lane 20 b. If this threshold value is exceeded, the driver assistance system 6 cannot intervene automatically to assist with a sufficiently large steering torque in order to enable the ego vehicle 21 to safely negotiate the curve. That is, the driver of the ego vehicle 21 must intervene in the controlling of the ego vehicle 21 by applying additional steering torque and/or reducing the speed by decelerating the ego vehicle 21.

In some exemplary embodiments, it is determined alternatively or in addition whether the ego vehicle 1 may physically negotiate the curve safely at the detected or forecast speed. If it is determined that this is impossible or is associated with risks, it is defined as a higher criticality. In doing so, for example the physically possible transmission of force between the tires of the ego vehicle 1 and the road surface is taken into account. With a higher criticality, for example braking the ego vehicle 1 or selecting a greater curve radius is necessary.

In some exemplary embodiments, different driver assistance modules of the driver assistance system 6 may be activated, wherein different levels of automation may also be achieved. The driver may for example select a low automation level in which the longitudinal and transverse control of the ego vehicle 1 are substantially manual. The driver may add modules that output warnings or recommendations with respect to controlling; this corresponds to a low automation level. Moreover, the driver may enable modules that take over individual tasks of longitudinal and transverse control; this corresponds to a higher automation level. Furthermore, the driver may enable driver assistance modules that automatically support both longitudinal control as well as transverse control; this corresponds to an even higher automation level. The threshold value for the steering torque that a driver assistance module for transverse control may apply may depend on the specific module or the driver assistance system 6.

While driving, the control unit 3 generates a driver information display that is output by the display unit 4. An exemplary embodiment of such a display is shown as an example in FIG. 3.

The driver information display comprises an ego object 31 that is configured as a perspective view of the ego vehicle 21 from the rear from a slightly elevated virtual position so that an area lying in front of the ego vehicle 21 may also be depicted. The display furthermore comprises a lane object 30 that is arranged so that the ego object 31 is displayed thereupon. The lane object 30 represents the current lane 20 b on the road 20 actually being driven by the ego vehicle 21.

In some exemplary embodiments, other graphic objects are displayed for other and for example adjacent lanes that for example are configured analogously to the shown lane object 30.

In some exemplary embodiments, the lane object 30 is bordered by a dashed left 30 a and a broken right road marker 30 b. The depicted marker types correspond to the actual markers on the lane 20 a according to the previously determined demarcation marker classes. In some exemplary embodiments, the road markers may be generated by using other criteria, for example in order to symbolize whether a lane change is permissible and possible in the direction of a road marker.

The lane object 30 represents the detected course of the physical lane 20 b on which the ego vehicle 21 is currently located. A curve located in front of the ego vehicle 21 is represented by a curve area 32 of the lane object 30. Its geometric shape is generated so that it reproduces the actual radius of curvature of the curve in the perspective depiction.

The lane object 30 is generated with the curve area 32 depending on the criticality determined for the curve. In the exemplary embodiment, the road markers 32 a, 32 b that border the side of the depicted lane in the curve area 32 are configured so that the driver is notified of a necessary manual intervention. This is done by depicting in a certain color, such as red, when the value of the determined criticality exceeds a threshold value. In the exemplary embodiment, the road markers 32 a, 32 b in the curve area 32 are then no longer generated so that they reproduce the actual markers on the lane 20 b; instead, they are depicted as solid in order to notify the driver of their importance in the curve.

In some exemplary embodiments, the lane object 30 has other highlight features than the color of the road markers 32 a, 32 b in the curve area 32 such as a color of the surface of the depicted lane 32 so that the highlighting is over a large area. In other exemplary embodiments, other depictions may be generated depending on the value of the criticality, for example with other colors that are determined by using the criticality value and a scale. Furthermore, dynamic depictions may be generated, for example with flashing objects.

In some exemplary embodiments the driver information display furthermore comprises depictions of traffic signs 33 a, 33 b that signal a speed limit and a prohibition on passing in the area of the curve. These traffic signs 33 a, 33 b may also be displayed in the area of the lane object 30 so that they appear on its surface, or they may be displayed like actual traffic signs 25 on the edge of the lane object 30. The traffic signs 33 a, 33 b in the exemplary embodiment correspond to an actual traffic sign 25 arranged on the edge of the road 20; in other exemplary embodiments, traffic signs may however also be generated by using driving recommendations of the driver assistance system 6, for example when a certain maximum speed for safely negotiating a curve was determined, or when the area of the curve is assessed as being unsafe for passing.

In some exemplary embodiments, acoustically and/or haptically perceptible warning messages may furthermore be output depending on the criticality. Furthermore, other optical warning messages may also be displayed, for example by means of a warning symbol.

In some exemplary embodiments, the driver assistance system 6 is configured to determine whether a speed is reached upon entering the curve that permits safely negotiating the curve. If, despite the highlighting of the curve section 32 in the driver information display, the driver does not initiate suitable measures, safety measures may be automatically initiated in order to bring the ego vehicle 1, 21 into a safe state. Accordingly, braking may for example be performed that brings the ego vehicle 1, 21 to a safe speed.

In some exemplary embodiments, it is furthermore proposed that the graphic depiction of the ego vehicle 31 in the driver information display is arranged at a fixed position. The depiction therefore corresponds to a perspective from a fixed point relative to the ego vehicle 21, for example from a position of the driver, or a position arranged above the ego vehicle 21. The depiction is generated so that a movement is depicted while driving so that other objects that present the environment of the ego vehicle 21 move relative to the depicted ego object 31. It is shown for example that the lane markers 30A, 30B move relative to the ego object 31, and the arrangement of the lane object 30 also changes relative to the ego object 31. For example, the lane object 30 changes while negotiating the curve so that its curvature is changeably depicted, and the lane object 30 again runs completely straight for example at the exit of the curved area, or respectively with a changed detected radius of curvature.

In some exemplary embodiments, further road users are detected and output as road user objects on the driver information display. The road user objects are displayed relative to the ego object 31 so that the physical position and speed of the associated road users is discernible from the display. The road user objects are also depicted as rotated corresponding to the course of the road so that they for example are visible obliquely from the side when they are driving on an area of the road that is curved relative to the orientation of the ego vehicle 21.

In some exemplary embodiments, the display unit 4 comprises a head-up display, and at least the lane object 30 of the driver information display is displayed in this manner. It may for example be displayed so that it appears to be superimposed on the lane 20 b actually perceived from the position of the driver. The curve area 32 is then highlighted so that the driver may evaluate the criticality in the area lying in front of him and may discern that a manual reduction of speed or an additional application of steering torque is required to safely negotiate the curve.

Another exemplary embodiment of a driver information display that is generated and output in the method while taking into account weather data will be explained below with reference to FIGS. 4A, 4B and 4C. The display is similar to the display explained above with reference to FIG. 3. Only additional features will therefore be explained. Comparable objects are identified with the same reference numbers.

In this exemplary embodiment, the driver information display furthermore comprises graphic elements 40 a, 40 b for adjacent lanes. These are positioned laterally next to the lane object 30 on which the ego object 31 is arranged and continue the road to the side in a perspective depiction. In the exemplary embodiment, only road markers 30 a, 30 b are shown at the edges of the lane object 30 for the vehicle's own lane 20 b. In this case as well, the depicted marker types correspond to the actual markers on the road 20 according to the previously determined demarcation marker classes.

In the case shown in FIG. 4A, it was detected that the surface of the road is dry. The driving objects 30, 40 a, 40 b are shown without any structuring, for example uniformly black or gray.

In the case shown in FIG. 4B, it was detected that the surface of the road is wet. The graphic objects for depicting one's own lane 30 as well as the left 30 a and right 30 b adjacent lanes are depicted with a pattern that represents raindrops in this example. In other exemplary embodiments, other forms of structuring may be depicted; furthermore, dynamic depictions such as moving structures in the area of the graphic objects 30, 40 a, 40 b are also conceivable. In another exemplary embodiment, other objects are also depicted such as further road users whose mirror images are depicted on the road depicted as wet with rain. Furthermore, spray may be depicted in the area of road user objects that move over the road.

In the case shown in FIG. 4C, it was detected that the road is at least partially covered with snow. Analogous to the case shown in FIG. 4B, the objects for the lanes 30, 30 a, 30 b are depicted structured in this case as well, wherein a pattern of a snow surface is shown. In this case as well, other forms of structuring as well as dynamic depictions are conceivable.

In some exemplary embodiments, the graphic objects for the lanes 30, 40 a, 40 b are depicted such that other features of their surface are represented. These may be for example contaminants, oil or markers on the road.

With reference to FIG. 5A to 5D, other displays will be explained that may be generated and output with the method taking into account different types of road markers. In this case as well, the driver information system explained with reference to FIG. 1 will be assumed, and the objects will be identified if possible with the reference numbers already used above.

In the case shown in FIG. 5A, no road markers were recognized on the road 20. Only the ego object 31 that represents the ego vehicle 21 is depicted as well as a lane object 30 that is shown as uniformly gray in the exemplary embodiment. In other exemplary embodiments, other depictions are possible; however, the display is such that no objects comparable with a road marker are displayed. The driver may see from this display that the ego vehicle 21 is being driven without orientation from recognized road markers so that for example driver assistance systems for transverse control may only be used restrictedly or not at all.

In the case shown in FIG. 5B, it was recognized that the lane 20 b on which the ego vehicle 21 is located is bordered on the left and right by lane markers. These were assigned the demarcation marker classes of “broken road marker”, or respectively “solid road marker”. Furthermore, adjacent lanes were recognized. In addition to the ego object 31 and the lane object 30 that represents the currently used lane 20 b, the driver information display also comprises graphic objects for the left 40 a and right 40 b adjacent lanes as well as road markers 30 a, 30 b that are generated according to the detected demarcation marker classes and represent characteristics, i.e., the broken, or respectively solid embodiment corresponding to the actual road markers.

In the case shown in FIG. 5C, it was recognized that, different than the case shown in FIG. 5B, the lane 20 b of the ego vehicle 21 is not bordered by a right lane marker. Instead, a transition from the road to a shoulder area was detected. In contrast to the case shown in FIG. 5B, this is output by the driver information display in that the graphic object 40 b depicts a shoulder area for the right adjacent lane that borders the lane object number 30 with the ego object 31.

The case shown in FIG. 5D differs from that in FIG. 5B in that the current lane 20 b of the ego vehicle 21 is bordered on the right by a curb. This is displayed in the driver information display in that a graphic demarcation object 30 b that represents a curb is depicted on the right next to the lane object 30.

In some exemplary embodiments, road markers may also be guardrails, vegetation or roadside structures, or other demarcation markers and structures according to the various demarcation marker classes.

With reference to FIG. 6A to 6C, other displays will be explained that may be generated and output using the method for a planned lane change. In this case as well, the driver information system explained with reference to FIG. 1 will be assumed, and the objects will be identified if possible with the reference numbers already used above.

FIG. 6A to 6C each include an ego object 31 that represents the ego vehicle 21. This is displayed statically and always arranged at the same position within the driver information display. The movement of the ego vehicle 21 is depicted in that the depicted environment moves relative to the ego object 31 as it appears from the coordinate system of the ego vehicle 21. For example, structures of the road move relative to the static ego object 31, including curved areas as well as road markers 30 a, 30 b, corresponding to the actual proper movement of the ego vehicle 21 on the road 20.

The perspective of the display is generated from a position slightly behind and above the virtual ego object 31. Each display comprises a lane object 30 that represents the currently used lane 20 b of the ego vehicle 21, as well as adjacent lane objects 40 a, 40 b for adjacent lanes 20 a.

In all cases, a preceding vehicle 23 was also detected that will now be represented by a road user object 61 which is arranged in the depiction in front of the ego object 31. The depiction is generated such that the displayed distance between the ego object 31 and object of the proceeding vehicle 61 represents the actual distance between the vehicles. That is, by using the display, the driver may perceive the actual distance and may for example notice changes.

The further road user is depicted by the virtual road user object 61 so that features of its real appearance relevant to the depiction are reproduced in the display. In this regard, the vehicle type and the color of the further road user 23 are detected in the exemplary embodiment. The detection takes place by a camera of the ego vehicle 1. Alternatively or in addition, in other exemplary embodiments, a datalink to the additional road user 23 is also established, particularly by means of Car2Car communication. The graphic road user object 61 assigned to the preceding road user 23 is then generated so that it correctly reproduces the depiction of the vehicle type. Alternatively or in addition, in other exemplary embodiments, other features of the preceding vehicle 23 may also be reproduced in the depiction of the corresponding graphic road user object 63.

FIG. 6A to 6C furthermore include a horizontal line arranged in front of the ego object 31 on the lane object 30 that depicts a set minimum distance of the ego vehicle 21 from the preceding vehicle 23.

In the case shown in FIG. 6A, it was detected that the current lane 20 b is bordered on the right by a solid line and on the left by a broken line. The detected road markers were assigned to corresponding demarcation marker classes, and the demarcation markers are reproduced by depictions of corresponding road markers 30 a, 30 b.

Furthermore, a further road user located at the approximate level of the ego vehicle 21 was detected on a lane adjacent on the left. The display comprises a corresponding graphic road user object 62 on a left adjacent lane object 40 a that reproduces the real arrangement of the vehicles. In this driving situation, it was determined that the ego vehicle 21 cannot safely change to the left adjacent lane. The left adjacent lane object 40 a is therefore not highlighted but is rather colored a uniform gray.

In the case shown FIG. 6B, an additional road user was also detected on an adjacent lane, but this time on the right adjacent lane, however. The driver information display therefore comprises a road user object 63 in the area of the right adjacent lane object 40 b. It was determined that a lane change to the left adjacent lane may be done safely. The left adjacent lane object 40 a is therefore highlighted. In this and other exemplary embodiments, various highlights may be used, for example by means of hatching, color, brightness, or by a dynamic effect such as flashing.

In the case shown in FIG. 6C, it was furthermore detected proceeding from the case explained above with reference to FIG. 6B, that the driver of the ego vehicle 21 has activated a left blinker. With this, he signals that he wants to perform a lane change to the left. The ego object 31 is output in the depiction with a shining flashing light. Since in the depicted driving situation the lane change to the left may be done safely, an arrow 65 is displayed as a signal object 65 in addition to the highlighting of the left adjacent lane object 40 a. The case is for example configured to be the color green. In other exemplary embodiments, the color may depend on whether the lane change may be done safely; if this is not the case, the arrow 65 may for example be colored red. Furthermore, the signal object 65 may also be configured differently, for example like chaser lights or with another symbol.

In the case shown in FIG. 6C, it was furthermore detected that the left adjacent lane is bordered on the left by a solid line. Moreover, the current lane 20 b of the ego vehicle 21 is bordered on the right by a solid line. These road markers are correspondingly displayed in FIG. 6C by using demarcation objects 30 a, 30 b, 66.

In some exemplary embodiments, it is detected that the further road user 23 is planning a certain driving maneuver. To accomplish this, light signals from a turn signal are evaluated, or information is received via a Car2Car link. A driving maneuver object is displayed for the road user object 61 that signals that the preceding vehicle 23 is for example planning a lane change.

With reference to FIG. 7A to 7C, other displays will be explained that may be generated and output with the method taking into account impending oncoming traffic, if applicable. In this case as well, the driver information system explained with reference to FIG. 1 will be assumed, and the objects will be identified if possible with the reference numbers already used above.

In the case shown in FIG. 7A, no oncoming traffic was detected on the lane of the ego vehicle 21 as well as on the adjacent lanes. In this case, the depiction comprises the lane object 30 as well as right and left bordering adjacent lane objects 40 a, 40 b. Furthermore, an ego object 31 as well as a preceding vehicle 23 is depicted by a road user object 61.

In the cases shown in FIGS. 7B and 7C, it was recognized that oncoming traffic may be anticipated in the lane 20 a arranged on the left in the driving direction next to the current lane of the ego vehicle 21. The depictions differ from the depiction depicted above with reference to FIG. 7A in terms of a graphic oncoming traffic warning object 71, 72 that is arranged on the adjacent lane object 40 a. The depiction is for example like a road marker placed on a road surface.

In some exemplary embodiments, the oncoming traffic warning object 71, 72 moves with the ego object 31. In other exemplary embodiments, the oncoming traffic warning object 71, 72 in the coordinate system of the depicted road surface may be static so that the ego object 31 appears to move past the oncoming traffic warning object 71, 72. In this case, the oncoming traffic warning object 71, 72 may repeatedly appear in multiple executions, for example in periodic intervals as long as oncoming traffic on the adjacent lane 20 a is to be anticipated.

Alternatively or in addition, in some exemplary embodiments, an oncoming road user object is depicted in the area of a lane object when it was determined that oncoming traffic is to be anticipated on the lane. The oncoming road user object may be configured so that it depicts an actual oncoming road user. It may furthermore be displayed even if no further road user was detected in order to warn the driver of the potential occurrence of oncoming traffic. The depiction of the oncoming road user object may differ if it represents an actually detected road user, or if it is only being displayed as a warning.

With respect to FIG. 8A to 8C, various depictions of the ego object in the driver information display will be explained that may be generated and output by the method. In this case as well, the driver information system explained with reference to FIG. 1 will be assumed, and the objects will be identified if possible with the reference numbers already used above.

In some exemplary embodiments, states of the lighting system 7 of the ego vehicle 1 are detected, and the depiction of the ego object 31 in the driver information display is generated so that it reproduces the states of various elements of the lighting apparatus 7. For example, rear lights and headlamps may be displayed illuminated or unilluminated corresponding to the detected states.

The ego object 31 comprises a depiction of the ego vehicle 1 from a perspective from the rear in the driving direction so that the vehicle's rear is visible. In the FIGS., only one section is always shown that for example shows the elements of the lighting system 7 of the ego vehicle visible from this perspective.

In the case shown in FIG. 8A, turn signals 80 on both sides are depicted highlighted, for example by an increased brightness and a yellow color. This is for example the case if a hazard flasher is activated. The depiction is dynamically generated in the exemplary embodiment so that a periodically recurring switching on and switching off of the turn signals 80 is output, for example just as is actually done by the lighting apparatus 7 of the ego vehicle 1.

In some exemplary embodiments, an activation of an individual turn signal 80 is depicted, for example with a flashing light.

In the case shown in FIG. 8B, lights of a brake light 81 are depicted highlighted, for example by an increased brightness and a red color. Analogous to this, in the case shown in FIG. 8C, the rear lights 82 are depicted highlighted, in this case by an increased brightness and a white color.

Analogous to this, other lights may be depicted in other exemplary embodiments, for example a rear fog lamp or a marker light. Furthermore, various combinations of lights may be depicted highlighted. In another exemplary embodiment, an actual illumination is furthermore detected, wherein malfunctions are also detected, for example. The depiction may then be adapted to the actually detected illumination.

In some exemplary embodiments, an operating state of a forward-directed headlamp of the ego vehicle is detected such as low beams, high beams, a parking light, fog lamp, a daytime driving light or a wide beam. For example, a brightness, color, headlamp range and/or intensity distribution is detected. The ego object is generated by using the detected operating state analogously to the depictions explained above.

Furthermore, the depiction may include other graphic objects in an environment of the ego object 31, and these are generated for example depending on the detected operating state of the lighting apparatus. For example, a lane object 30 is depicted with a certain texture and/or brightness distribution, wherein the light distribution on the road 20 generated by the lighting apparatus 7 is depicted for example in the area in front of the ego vehicle 21. Further road users may also be depicted depending on if and how they are illuminated by the lighting apparatus 7. The depiction is generated such that a headlamp range and a width of light distribution is perceptible from the depiction, wherein for example the headlamp range and/or intensity depends on an angle relative to the driving direction of the ego vehicle 21.

In doing so, an actual illumination of physical objects may be detected by sensors of the detection unit 2, and/or a physical model may be used in order to determine the illumination of objects by the lighting apparatus 7. For example, the influence of the lighting system on the appearance of the environment may be reproduced very realistically.

With reference to FIG. 9, an exemplary embodiment of a driver information display with a trailer object generated by using the method will be explained. In this case as well, the driver information system explained with reference to FIG. 1 will be assumed, and the objects will be identified if possible with the reference numbers already used above.

In the exemplary embodiment, an operating state of the trailer hitch 8 of the ego vehicle 1 is detected. If it is detected that a device is mounted on the trailer hitch, then the ego object 31 is generated in combination with a graphic trailer object 90.

The display is such that the ego object 31 with the graphic trailer depiction is displayed in a perspective from the rear such that a road section of the road object 30 lying in front of the ego object 31 in the depiction is visible.

The trailer depiction may differ depending on the type of trailer object, for example in terms of its size, shape and color. For example, a schematically simplified image of the real trailer object is reproduced by the graphic trailer depiction.

In the exemplary embodiment, the driver information display furthermore comprises a road user object 61 that represents a preceding vehicle 23, a lane object 30 that represents the current lane 20 b of the ego vehicle 1, as well as adjacent lane objects 40 a, 40 b for adjacent lanes 20 a. Moreover, the road markers are reproduced by means of demarcation marker objects 30 a, 30 b.

With reference to FIGS. 10A and 10B, exemplary embodiments of driver information displays for various automation levels will be explained. The above explained exemplary embodiments will be assumed.

The driver information displays include other information elements known per se in addition to environmental depictions. These include, for example, elements for outputting a current speed, a current gear, consumption, or played music titles. Furthermore, driving instructions of a navigation system are output.

In the case in FIG. 10A, it was detected that the driver assistance system 6 is operating on a low automation level. A reduced depiction of the environment is therefore output. In the exemplary embodiment, a longitudinal control of the ego vehicle 1 is activated in which the driving speed is controlled so that a certain minimum distance from the preceding road users is maintained and passing on the right is avoided. In other exemplary embodiments, driver assistance modules are activated so that the transverse control of the ego vehicle 1 is supported instead of the longitudinal control. In doing so, the reduced environmental depiction is output for an automation level in which control is supported either in the longitudinal or transverse direction.

The driver information display in FIG. 10A comprises a depiction of the environment with an ego object 101 a for the ego vehicle 1, a road user object 102 for a preceding vehicle, as well as an additional road user object 103 for another vehicle on a left adjacent lane 20 a. The current lane 20 b on which the ego vehicle 1 is located is bordered on the left and right by road markers 106 a, 106 b. At a certain distance in front of the ego object 101 a, a distance object 105 is depicted that represents a set safe distance from the preceding road users.

The ego object 101 a is depicted in this case such that it is not fully perceptible. The depicted perspective extends from a virtual point above and to the rear of the ego vehicle 1 so that part of the ego vehicle 1 as well as a part of the preceding road is depicted. After the lanes is only implied and not shown in the full width.

In the driver information display, the road user object 102 for the preceding vehicle is displayed as a control object for speed and distance control. Furthermore, the additional road user object 103 for the vehicle on the left adjacent lane is displayed as a control object for preventing passing on the right. Additional road users are not output in this case if they do not have any direct relevance for the automatic control of driving.

The road section depicted in front of the ego object 101 a is output with a straight course.

In the case shown in FIG. 10B, the driver information display is distinguished from the case in FIG. 10A explained above in terms of the depiction of the environment. It was detected that the driver assistance system 6 is being operated with a higher automation level, wherein there is active automated intervention both in the longitudinal control as well as the transverse control of the ego vehicle 1. An expanded depiction is therefore displayed.

The environmental depiction comprises a larger area of the environment; for example, the left and right adjacent lanes are depicted in their full width. Furthermore, an additional road user object 104 is depicted that represents an additional road user but does not serve as a control object for the driver information system 6. That is, the driver information display also comprises such road users that are not directly used for the automated support of driving by means of the driver assistance system 6. The road markers 107 a, 107 b depicted in the driver information display are displayed broken, or respectively solid, in this case.

The course of the road displayed in front of the ego object 101 b depicts a curved road, wherein the curvature corresponds to an actual course of the road that is determined by means of sensors of the ego vehicle 1 and by using map data. In the expanded depiction, the output is dynamic, i.e., a movement of the road relative to the statically depicted ego object 101 b is depicted, wherein the curvature may also change corresponding to the actual conditions.

In some exemplary embodiments, an animated transition between the reduced view in FIG. 10A and the expanded view in FIG. 10B is depicted after user input to change between different automation levels has been detected. In this case, there is a switch from a lower to a higher automation level. For example, the switch between automation levels is carried out by actuating a button on the steering wheel, or a brake pedal.

In the animated transition, the perspective of the depiction is shifted so that the ego object 101 a appears to move forward so that a larger portion of the depiction of the ego vehicle 1 is visible. Upon reaching the expanded depiction in FIG. 10B, the ego object 101 b is depicted fully in a rear view. At the same time as the shift in perspective, other objects in the environment are also depicted, i.e., the radius or maximum distance to other depicted objects is increased along with the number of the other objects.

With reference to FIG. 11A to 11D, exemplary embodiments of driver information displays with unclassified and classified additional road users will be explained. In doing so, the above explained exemplary embodiments will also be assumed.

In the cases in FIG. 11A and FIG. 11B, an expanded depiction of the environment comprises a rear view of an ego object 111 that represents the ego vehicle 1, a road user object 112 for a preceding vehicle, as well as an additional road user object 114 for another vehicle that is located on the right side in front of the ego vehicle 1. The additional road users were detected and assigned to a specific road user class, wherein they were identified as passenger cars in the present case. They are depicted so that the driver may see from the driver information display that they are all passenger cars.

In other exemplary embodiments, other characteristics of the additional road users are detected such as their color, the vehicle type or a state of a lighting system. The road user objects 112, 114 are depicted depending on the detected characteristics so that there is a more detailed depiction of the road users that is closer to reality.

The depiction furthermore comprises a generic road user object 113 a, 113 b that represents an additional road user to the left next to the ego vehicle 1. This additional road user was not precisely identified and could only be assigned to a generic road user class. The exemplary embodiment is a passing road user, wherein only its position relative to the ego vehicle 1 was detected by means of radar sensors in the rear and side area of the ego vehicle 1; however, no data from a camera of the ego vehicle 1 could be detected that would permit a more precise categorization and assignment to a specific road user class.

In the case shown in FIG. 11A, the generic road user object 113 a is depicted as a block with rounded edges, or as a similar three-dimensional shape. In the case shown in FIG. 11B, the generic road user object 113 b is depicted as a hatched area. The generic road user object 113 a, 113 b is depicted such that the position of the assigned road user relative to the ego vehicle 1 is perceptible.

In some exemplary embodiments, the generic road user object 113 a, 113 b has a linear extension in the driving direction. Since typically the length of an additional road user that is approaching the ego vehicle 1 from behind is not detected by sensors of the ego vehicle 1, the generic road user object 113 a, 113 b is depicted with a growing linear extension while it is passing the ego vehicle 1. That is, in the depiction, the generic road user object 113 a, 113 b grows in length during the passing process until it is detected that the end of the additional road user has been reached.

When the passing road user to which the generic road user object 113 a, 113 b in FIGS. 11A and 11B is assigned has passed the ego vehicle 1 enough for it to enter into the detection area of a camera detecting the front area in front of the ego vehicle 1, it is assigned to a specific road user class. That is, it is for example recognized that it is a passenger car of a certain type in a certain color.

In the case shown in FIG. 11C, such a classification was made for an additional road user on the left adjacent lane, and a specific road user object 113 c is depicted at its position that has characteristics of the actual appearance of the additional road user. A view of the additional road user is depicted corresponding to the assigned road user class.

In a transition from one of the depictions in FIG. 11A or 11B to the depiction in FIG. 11C, a change from a generic road user object 113 a, 113 b to the specific road user object 113 c is graphically depicted in a manner known per se, for example by cross-fading, morphing, the piecemeal or complete replacement of the depicted elements, or by the specific road user object 113 c “growing” from a generic road user object 113 a, 113 b.

The method in which the above-explained displays are generated will be explained in greater detail with reference to FIG. 11D by using a specific traffic situation.

An ego vehicle 116 is moving along a lane in a driving direction 115 that is indicated by an arrow 115. Furthermore, an additional road user 117 is also moving in the driving direction 115 on an adjacent lane and is approaching the ego vehicle 116 from the rear.

The ego vehicle 115 comprises sensors that each have a detection area 118, 119, i.e., a rear detection area 118 that extends into the area behind the rear of the ego vehicle 115, and a front detection area 119 that extends into the area ahead of the front of the ego vehicle 115.

In the driving situation shown in FIG. 11D, the additional road user 117 is in the process of passing the ego vehicle 116, i.e., it is moving at a greater speed and is in the process of driving out of the rear detection area 118 and into the front detection area 119.

In the exemplary embodiment, data are detected by a radar sensor in the rear detection area 118. These data make it possible to detect the additional road user 117, and to detect its position and its distance relative to the ego vehicle 116, as well as detect its relative speed. Furthermore, in the exemplary embodiment, image data are detected by a camera in the front detection area 119. These data also make it possible to detect the additional road user 117, and to detect its position and its distance relative to the ego vehicle 116; furthermore, its relative speed may be determined.

By using the image data detected in the front detection area 119, the vehicle type may moreover be determined. For example, after the additional road user 117 has been detected in the front detection area 119, the color of the vehicle, the vehicle class as well as manufacturer and model are determined.

In the exemplary embodiment, when the additional road user 117 is being detected in the rear detection area 118, a generic road user class is determined. In the example, this comprises all vehicles. After the entry of the additional road user 117 into the front detection area 119, a specific road user class is determined that for example comprises all passenger cars or all compact vehicles of a particular brand.

In the exemplary embodiment, a depiction shown in FIGS. 11A and 11B is generated as long as the additional road user 117 was only detected by the radar sensor with the rear detection area 118. If the additional road user 117 enters the front detection area 119 of the camera, an animated transition to the depiction in FIG. 11C is output. A morphing method known per se is used for this in order to depict an animated change from the generic road user object 113 a, 113 b to the specific road user object 113 c.

With reference to FIGS. 12A and 12B, exemplary embodiments of driver information displays while the ego vehicle is following will be explained. In doing so, the above explained exemplary embodiments will also be assumed.

The depicted displays are generated when a preceding additional road user 23 is detected on a road section lying in front of the ego vehicle 1 in the driving direction. In the displays, the traveled lane is depicted as a lane object 30. The displays furthermore include an ego object 121 that represents the ego vehicle 1, as well as a road user object 120 that represents the preceding vehicle 23. The depicted distance between the ego object 121 and the road user object 120 is generated according to a detected actual distance between the ego vehicle 1 and the preceding vehicle 23, i.e., the quantitative value of the distance is discernible from the displays. The arrangement of the geographic objects 120, 121 to each other and relative to the graphic depiction of the lane corresponds to the physical situation.

The driver assistance system 6 is activated by a driver assistance module that partially intervenes automatically in the transverse control of the ego vehicle 1. For example, an intervention in the steering occurs in this case by applying torque to the steering in order to keep the ego vehicle 1 on the lane.

In the exemplary embodiment, no road markers were detected on the edges of the currently driven lane. Since orientation using the road markers is impossible, driving while following is performed in which a target trajectory of the ego vehicle 1 is controlled for example with respect to the transverse position of the ego vehicle 1 on the traveled lane. The transverse position relates to the position in a direction transverse to the driving direction. That is, the target trajectory of the ego vehicle 1 is generated so that it follows a detected trajectory of the preceding vehicle 23.

The target trajectory of the ego vehicle 1 is output by means of a trajectory object 122 a, 122 b that extends from the ego object 121 to the road user object 120 in the exemplary embodiment. In the case shown in FIG. 12A, the trajectory object 122 a is depicted as a wide line with highlighted edges. In the case shown in FIG. 12B, the trajectory object 122 b is contrastingly depicted as a narrower line. Other forms of depiction are also conceivable.

In some exemplary embodiments, an intention to perform a lane change with the ego vehicle 1 is recognized. For example, it is detected that the driver has actuated an indicator, or that an automated lane change is to be initiated. In this case, a driver assistance module may use environment data to check whether the lane change may be safely performed. For example, the positions of additional road users are analyzed in this case, and the lane change is considered safely feasible if there is no collision hazard. The target trajectory is then generated so that it guides the ego vehicle onto the adjacent lane. The trajectory object 122 a, 122 b, analogously to the cases shown in FIGS. 12A and 12B, may lead from a virtual front of the ego object 121 to the adjacent lane.

With reference to FIG. 13A to 13D, exemplary embodiments of driver information displays while setting a control distance will be explained. In doing so, the above explained exemplary embodiments will also be assumed.

In the cases shown in FIGS. 13A and 13B, a lane object 30 is depicted that represents the road on which the ego vehicle 1 is moving. This lane object is bordered on the right 30 b and left 30 a by road markers on the edges of the current lane of the ego vehicle 1. The display furthermore comprises an ego object 131 that represents the ego vehicle 1. Moreover, additional road users 132, 133, 134 are depicted, for example a preceding vehicle 132 as well as additional road users 133, 134 on adjacent lanes.

In the driving direction at a certain distance in front of the ego object 131, a distance object 135 formed as a line transverse to the driving direction is depicted substantially over the width of the current lane of the ego vehicle 131. By using the distance between the ego object 131 and the distance object 135, this shows a safety distance between the ego vehicle 1 and a preceding additional road user that is maintained by the driver assistance system 6 of the ego vehicle 1 intervening at least partially automatically in the control of the vehicle.

The driving situations in which the depictions in FIGS. 13A and 13B are generated differ in that the ego vehicle 1 moves at a slower speed in the case of FIG. 13A than in the case in FIG. 13B. That is, the safe distance to be maintained from a preceding additional road user is greater in the case of FIG. 13B than in FIG. 13A. Correspondingly, the road user object 132 for the preceding additional road user is depicted at a greater distance from the ego object 131, and the distance object 135 is also depicted at a greater distance from the ego object 131.

In the exemplary embodiment, the safe distance to be maintained by the driver assistance system 6 is set by a parameter to which a certain time interval is assigned. The length of the safe distance is determined depending on this time interval and the current speed of the ego vehicle 1. In this case, for example the formula s=v*t is used, wherein s identifies the length of the safe distance, v identifies the current speed of the ego vehicle 1, and t identifies the time interval specified by the parameter.

In the cases in FIGS. 13C and 13D, an actuation of an adjustment element in the ego vehicle 1 was detected. This is for example included in the detection unit 2 or is coupled thereto. In the exemplary embodiment, it is a pushbutton switch; alternatively or additionally, another entry device may also be provided such as a dial or slider. The adjusted parameter of the driver assistance system 6 is changed by this actuation.

This change causes the position of the distance object 135 to change relative to the ego object 131. Since a stepwise adjustment of the parameter is provided in the exemplary embodiment, the distance object 135 jumps one step forward or back upon the actuation, i.e., to a greater or smaller distance relative to the ego object 131 in the depiction.

The depiction in FIGS. 13C and 13D furthermore comprises a distance adjustment object 136 by means of which the driver may perceive the potentially adjustable values of the parameter. In the exemplary embodiment, lines that contrast in color from the distance object 135, or substantially rectangular areas, are depicted on the lane object and form a distance scale object 136. The distance object 135 functions as a distance indicator object 135 that shows the actually adjusted value of the parameter using the distance scale object 136. The driver may thereby recognize whether the adjusted value of the parameter corresponds for example to the minimum or maximum adjustable value, or respectively where the adjusted value is located between these values.

The depictions in FIGS. 13C and 13D in turn differ by the speed of the ego vehicle 1, which is greater in the case of FIG. 13D than in the case of FIG. 13C. As already explained above with reference to FIGS. 13A and 13B, the safe distance with the different values of the parameter corresponds to different lengths depending on the speed. This proportionality affects the depiction of the distance adjustment object 135 to a similar extent as the arrangement of the distance object 135. In the exemplary embodiment, the depiction of the distance adjustment object 136 at a higher speed is elongated in the driving direction.

In some exemplary embodiments, the value of the parameter is infinitely adjustable or adjustable with a larger number of steps. The distance adjustment object 136 may be generated in another way, for example with a color scale or another scale by means of a graphic depiction feature that varies along the linear extension in the driving direction.

The features discussed in separate exemplary embodiments may be combined as desired, for example to realize the invention in a comprehensive method or system.

LIST OF REFERENCE NUMERALS

-   1 Ego vehicle -   2 Detection unit; sensor -   3 Control unit -   4 Display unit -   5 Evaluation unit -   6 Driver assistance system -   7 Lighting apparatus -   8 Trailer device -   10 External unit; external server -   20 Roadway -   20 a Lane -   20 b Lane -   20 c Road marker -   21 Ego vehicle -   22 Arrow -   23 Preceding vehicle -   24 Oncoming vehicle -   25 Traffic sign -   30 Lane object -   30 a, 30 b Road marker (depiction) -   31 Ego vehicle (depiction) -   32 Curve area (depiction) -   32 a, 32 b Road marker in curve area (depiction) -   33 a, 30 b Traffic sign (depiction) -   40 a, 40 b Adjacent lane (depiction) -   61 Road user object, preceding vehicle (depiction) -   62, 63 Road user object, vehicle on adjacent lane (depiction) -   65 Signal object, arrow -   71, 72 Oncoming traffic warning object -   80 Turn signal -   81 Brake light -   82 Rear light -   90 Trailer object (depiction) -   101 a, 101 b Ego object -   102 Road user object; preceding vehicle -   103, 104 Road user object -   105 Distance object -   106 a, 106 b, 107 a, 107 b Road marker (depiction) -   111 Ego object -   112 Road user object; preceding vehicle -   113 a, 113 b Generic road user object -   113 c Specific road user object -   114 Road user object -   115 Arrow; driving direction -   116 Ego vehicle -   117 Additional road user -   118 Rear detection area -   119 Front detection area -   120 Road user object; preceding vehicle -   121 Ego object -   122 a, 122 b -   131 Ego object -   132 Road user object; preceding vehicle -   133, 134 Road user object -   135 Distance object; distance indicator object -   136 Distance adjustment object; distance scale object

The invention has been described in the preceding using various exemplary embodiments. Other variations to the disclosed embodiments may be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word “comprising” does not exclude other elements or steps, and the indefinite article “a” or “an” does not exclude a plurality. A single processor, module or other unit or device may fulfil the functions of several items recited in the claims.

The term “exemplary” used throughout the specification means “serving as an example, instance, or exemplification” and does not mean “preferred” or “having advantages” over other embodiments.

The mere fact that certain measures are recited in mutually different dependent claims or embodiments does not indicate that a combination of these measures cannot be used to advantage. Any reference signs in the claims should not be construed as limiting the scope. 

What is claimed is:
 1. A method for operating a driver information system in an ego vehicle comprising: detecting environment data in an environment of the ego vehicle; generating and outputting a driver information display; wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle; an operating state of a driver assistance system of the ego vehicle is detected; an automation level is determined with reference to the detected operating state of the driver assistance system; and the depiction of the environment is generated depending on the determined automation level.
 2. The method of claim 1, wherein the depiction of the environment is generated using an environmental model of the driver assistance system.
 3. The method of claim 1, wherein the driver information display comprises an ego object which represents the ego vehicle; wherein when there is a transition between depictions of the environment when a change in the automation level is detected, an animated perspective change is output in which a position of the ego object is changed in the driver information display.
 4. The method of claim 3, wherein the ego object is arranged on one automation level at a static position in the driver information display; wherein in the animated perspective change, the ego object is moved within the driver information display, and/or the perspective is changed relative to the ego object.
 5. The method of claim 3, wherein a reduced depiction of the environment is output on a low automation level, and an expanded depiction of the environment is output on a high automation level; wherein the ego object comprises a partial depiction of the ego vehicle in the reduced depiction, and a depiction of a rear view of the ego vehicle in the expanded depiction.
 6. The method of claim 1, wherein the environment data are detected using one or more sensors of the ego vehicle.
 7. The method of claim 1, further comprising: determining a position of the ego vehicle; wherein the environment data are detected using map data and using the determined position.
 8. The method of claim 1, wherein depiction of the environment is generated such that it has greater detail on a higher automation level.
 9. A driver information system in an ego vehicle, with a detector that is configured to detect environment data in an environment of the ego vehicle; a control circuit that is configured to produce and output a driver information display; wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle; wherein the detector is furthermore configured to detect an operating state of a driver assistance system of the ego vehicle; wherein the control circuit is furthermore configured to determine an automation level by using the detected operating state of the driver assistance system, and to generate the depiction of the environment depending on the determined automation level.
 10. The driver information system of claim 9, further comprising a display that comprises a field-of-vision display for outputting the driver information display.
 11. The method of claim 2, wherein the driver information display comprises an ego object which represents the ego vehicle; wherein when there is a transition between depictions of the environment when a change in the automation level is detected, an animated perspective change is output in which a position of the ego object is changed in the driver information display.
 12. The method of claim 4, wherein a reduced depiction of the environment is output on a low automation level, and an expanded depiction of the environment is output on a high automation level; wherein the ego object comprises a partial depiction of the ego vehicle in the reduced depiction, and a depiction of a rear view of the ego vehicle in the expanded depiction.
 13. The method of claim 2, wherein the environment data are detected using one or more sensors of the ego vehicle.
 14. The method of claim 3, wherein the environment data are detected using one or more sensors of the ego vehicle.
 15. The method of claim 4, wherein the environment data are detected using one or more sensors of the ego vehicle.
 16. The method of claim 5, wherein the environment data are detected using one or more sensors of the ego vehicle.
 17. The method of claim 2, further comprising: determining a position of the ego vehicle; wherein the environment data are detected using map data and using the determined position.
 18. The method of claim 3, further comprising: determining a position of the ego vehicle; wherein the environment data are detected using map data and using the determined position.
 19. The method of claim 4, further comprising: determining a position of the ego vehicle; wherein the environment data are detected using map data and using the determined position.
 20. The method of claim 5, further comprising: determining a position of the ego vehicle; wherein the environment data are detected using map data and using the determined position. 